/*
* Encog(tm) Unit Tests v2.5 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2010 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
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package org.encog.normalize;
import org.encog.NullStatusReportable;
import org.encog.normalize.input.InputField;
import org.encog.normalize.input.InputFieldArray1D;
import org.encog.normalize.input.InputFieldArray2D;
import org.encog.normalize.output.OutputFieldRangeMapped;
import org.encog.normalize.output.mapped.OutputFieldEncode;
import org.encog.normalize.target.NormalizationStorageArray1D;
import org.encog.normalize.target.NormalizationStorageArray2D;
import org.junit.Assert;
import junit.framework.TestCase;
public class TestMapped extends TestCase {
public static final double[][] ARRAY_2D = { {1.0,2.0,3.0,4.0,5.0},
{6.0,7.0,8.0,9.0} };
public void testOutputFieldEncode()
{
InputField a,b;
double[][] arrayOutput = new double[2][2];
NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
OutputFieldEncode a1;
OutputFieldEncode b1;
DataNormalization norm = new DataNormalization();
norm.setReport(new NullStatusReportable());
norm.setTarget(target);
norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
norm.addOutputField(a1 = new OutputFieldEncode(a));
norm.addOutputField(b1 = new OutputFieldEncode(b));
a1.addRange(1.0, 2.0, 0.1);
b1.addRange(0, 100, 0.2);
norm.process();
Assert.assertEquals(arrayOutput[0][0],0.1,0.1);
Assert.assertEquals(arrayOutput[1][0],0.0,0.1);
Assert.assertEquals(arrayOutput[0][1],0.1,0.1);
Assert.assertEquals(arrayOutput[1][1],0.2,0.1);
}
}